The main results of the project

The mathematical models and numerical methods developed in ABYSS, integrated into design tools, are suitable for optimizing support structures for large wind turbines at deep waters. The core results have a scientific, industrial and educational scope:

Load predictions

ABYSS provides advanced mathematical models for wave loads, wind loads, and soil-structure interaction tailored for application in optimal structural design. The obtained models in combination with an extensive set of loads and representative soil parameters for existing and future wind turbines and offshore wind farm locations are used for optimal design.

Cost and manufacturing

ABYSS provides mass-producible and reliable designs through accurate mathematical cost models for the support structure material, manufacturing process, and installation together with relevant design criteria.


ABYSS provides advanced mathematical models, computationally efficient and robust numerical optimization methods and implementations for conceptual and preliminary design of bottom-fixed support structures for all relevant water depths including deep waters.

Novel and reliable designs

The models and numerical algorithms from ABYSS allow for fast conceptual and preliminary design of reliable (longer life expectancy) and novel bottom-fixed support structures capable of carrying large (> 7 MW) wind turbines at deep waters (+50m).

Dissemination and research training

ABYSS educates six PhDs and trains two PostDocs, publishes more than 20 journal publications and produces at least 20 conference and workshop abstracts and presentations, among other media.

These results lead to a faster, improved and more automated design process for structures of deep water wind turbine farms. An optimized design has longer life expectancy than currently possible today, contributing to reducing the cost of energy for future offshore wind farms and to strengthening Denmark’s position as leader in offshore wind energy support structures.

12 DECEMBER 2018